The Web can be an incredibly rich source of customer data, and companies across industry sectors are hustling to get up and running with data warehouses capable of capturing the clickstream data from their Web sites. This is a step-by-step guide to building Web-enabled data warehouses.
The first, step-by-step guide to building Web-enabled data warehouses. The Web can be an incredibly rich source of customer data, and right now companies across industry sectors are hustling to get up and running with data warehouses capable of capturing the clickstream data from their Web sites. This allows companies to track exactly where a customer is going, or "clicking to," on their site in order to gain meaningful information about that customer's preferences. Following Ralph Kimball's The Data Webhouse Toolkit (0-471-37680-9) where he provides the blueprint, Clickstream Data Warehousing fills developers in on all the technical details that go into building a Web-enabled data warehouse. The authors review all key architectural and design issues that developers need to masterfully build a Webhouse using examples to illustrate key points. Companion Web site features code examples from the book and links to related Web sites.
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MARK SWEIGER is President and Principal of Clickstream Consulting, a boutique consultancy specializing in clickstream data warehouses and data warehouse education. He is a noted author on data warehousing and is a speaker at The Data Warehousing Institute. MARK R. MADSEN is Vice President and Principal of Clickstream Consulting. He has held various high--level positions within IT organizations and technology vendors and has extensive experience in data warehousing and supply chain management. JIMMY LANGSTON is a Senior Consultant at Clickstream Consulting, where he advises clients on optimal data warehouse architectures, implementation, multidimensional database design, database configuration, and performance tuning. HOWARD LOMBARD is Chief Architect at Gazelle Consulting, Inc., a consultancy specializing in the design and implementation of large--scale data warehousing and business intelligence solutions.
Table of Contents
Introduction.Acknowledgments. PART 1: CLICKSTREAM DATA WAREHOUSE ARCHITECTURAL FOUNDATIONS.A Typical E--Business Architecture.The Web Application Environment.Clickstream Data Soures and Web Server Log Files.Using Cookies and Other Mechanisms to Track User Identity.PART 2: BUILDING A CLICKSTREAM DATA WAREHOUSE, STEP--BY--STEP. Planning, Managing, and Staffing a Clickstream Data Warehouse Project.The Clickstream Data Warehouse Meta--Schema.Implementing the Approprate Clickstream Data Warehouse Technology Infrastructure.Building the Clickstream Extract, Transformation, and Load Mechanism.Analyzing the Data in the Clickstream Data Warehouse.AppendixA.Index.
Clickstream Data Warehousing by Mark Sweiger
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John Wiley and Sons Ltd
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